This package is considered a duplicate. The official version of this package is found at:https://trackyverse.r-universe.dev/TelemetrySpace

Package: TelemetrySpace 1.1.0

TelemetrySpace: Spatial point process and random field models for electronic tagging data

A collection of tools to fit spatial models to several types of telemetry data. Models are provided to account for the detection process when estimating individual centers of activity from acoustic telemetry data and to incorporate data from stationary test transmitters when available. Bayesian versions of models are fitted using Stan (http://mc-stan.org/). Maximum likelihood versions are fitted using Template Model Builder (https://kaskr.github.io/adcomp/index.html).

Authors:Megan Winton [aut], Michael O'Brien [cre], Benjamin L. Hlina [ctb]

# Install 'TelemetrySpace' in R:

install.packages('TelemetrySpace', repos = c('https://mhpob.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/meganwinton/telemetryspace/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

example_extent - Example array extent
fishdat - Black sea bass detection data
model_param_ex - Example model parameters
rlocs - Receiver locations from a black sea bass array
testdat - Stationary test transmitter data
testloc - Location of a stationary test transmitter placed in the black sea bass array
testY - Counts of detection per time steps for test tag
Y - Counts of detection per time steps

On CRAN:

cpp

4.00 score 5 stars 6 scripts 4 exports 50 dependencies

Last updated from:62494d08af. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	447
linux-devel-x86_64	NOTE	529
source / vignettes	OK	471
linux-release-arm64	NOTE	486
linux-release-x86_64	NOTE	535
macos-release-arm64	NOTE	347
macos-release-x86_64	NOTE	1049
macos-oldrel-arm64	NOTE	289
macos-oldrel-x86_64	NOTE	929
windows-devel	NOTE	667
windows-release	NOTE	742
windows-oldrel	NOTE	647
wasm-release	FAIL	163

Exports:COA_Standard COA_TagInt COA_TimeVarying distf

Dependencies:abind backports BH callr checkmate cli cpp11 desc distributional dplyr farver generics ggplot2 glue gridExtra gtable inline isoband labeling lifecycle loo magrittr matrixStats numDeriv otel pillar pkgbuild pkgconfig posterior processx ps QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools S7 scales StanHeaders tensorA tibble tidyselect utf8 vctrs viridisLite withr

Estimate activity centers from acoustic telemetry data

Rendered fromEstimate_COA_vignette.Rmdusingknitr::rmarkdown

Last update: 2025-08-26
Started: 2018-06-03

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Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'TelemetrySpace' package.	TelemetrySpace-package TelemetrySpace
Fits a Bayesian Spatial Point Process model to estimate individual centers of activity from acoustic telemetry data using Stan	COA_Standard
Fits a test-tag integrated Bayesian Spatial Point Process model to estimate individual centers of activity from acoustic telemetry data using Stan	COA_TagInt
Fits a test-tag integrated Bayesian Spatial Point Process model to estimate individual centers of activity from acoustic telemetry data using Stan	COA_TimeVarying
Calculate Euclidean distance between receivers and activity centers	distf
Example array extent	example_extent
Black sea bass detection data	fishdat
Example model parameters	model_param_ex
Receiver locations from a black sea bass array	rlocs
Stationary test transmitter data	testdat
Location of a stationary test transmitter placed in the black sea bass array	testloc
Counts of detection per time steps for test tag	testY
Counts of detection per time steps	Y